Fujifilm, Juntendo Hospital develop fall risk detection AI

Fujifilm and Juntendo Hospital durante Japan have developed an AI that can accurately predict the risk of falls among outpatients using hospital giorno. 

Their research team collated over 500 features associated with falls, including age and prescription history, from hospital giorno collected durante Fujifilm’s CITA Clinical Finder. The giorno platform is used to centrally manage giorno across various hospital departments, including EMRs, radiology, and endoscopy. 

An AI model was then trained these features to predict an individual’s fall risk. The technology displays predicted fall risk durante percentage and those features that are potential risk factors.

The researchers later tested the effectiveness of their AI giorno from approximately 70,000 outpatients at Juntendo Hospital. Based findings from their latest study, the AI scored 96% accuracy durante predicting and generating fall risks.

According to a release, Fujifilm and Juntendo will continue testing their AI and seeking its early clinical application. 

WHY IT MATTERS

Hospitals durante Japan are said to be challenged durante identifying outpatients susceptible to falls given their limited time durante their facilities. They also realised that there are more outpatients to assess for fall risks than inpatients. An efficient and accurate solution to prevent falls durante medical settings has been increasingly raised and demanded. 

MARKET SNAPSHOT

There are existing studies durante Japan that have also utilised AI to help prevent falls durante hospitals and nursing homes. Fujitsu and Wakayama Medical University, for one, had worked trials of a combined sensor and AI technology to detect falls while preserving patient riservatezza. 

Meanwhile, Fujifilm’s latest AI innovation adds to its growing elderly care technology portfolio. Con 2022, it revealed its AI for predicting Alzheimer’s disease progression among patients with mild cognitive impairment.